It can now take in information from experiments and partial data as well as predict very large and complex protein structures. In all living organisms, there is a huge variety of proteins that regulate cell functions. Basically, everything that happens in the body, from controlling muscles and forming hair to transporting oxygen into the blood and digesting food, involves proteins. But proteins are also found outside the body in, for example, detergents and medical drugs. Proteins are large molecules consisting of 20 different amino acids that stick together in long rows, much like beads in a necklace.

On the supercomputers at the National Supercomputer Center at Linköping University, researchers simulate how atoms in different materials behave. Data from such simulations is made available worldwide via the OPTIMADE standard to train future AI models for materials research. From left: Oskar Andersson, doctoral student, and Rickard Armiento, associate professor. Artificial intelligence (AI) is accelerating the development of new materials. A prerequisite for AI in materials research is large-scale use and exchange of data on materials, which is facilitated by a broad international standard.

Mika Gustafsson and David Martínez hope that AI-based models could eventually be used in precision medicine to develop treatments and preventive strategies tailored to the individual. Artificial intelligence, AI, which finds patterns in complex biological data could eventually contribute to the development of individually tailored healthcare. Researchers at LiU have developed an AI-based method applicable to various medical and biological issues. Their models can, for instance, estimate people's chronological age and determine whether they have been smokers or not. Genes play an important role in health, but so do environmental and behavioural factors, such as diet and level of physical activity.

SPOT is a quadruped robot "dog" from the Boston Dynamics company. It can be difficult for rescue personnel to reach an injured person in inaccessible terrain in time to provide necessary aid. It is probable that autonomous drones and quadruped robot "dogs" will become our'friends in need' in the future. But we are currently far from achieving full autonomy for these robotic systems. Consequently, well-functioning collaboration between human and machine is crucial. A moment later, a yellow quadruped robot makes its way across the well-manicured lawns of Gränsö Manor.

The applicant should have a Ph.D. degree in a relevant area, such as bioinformatics, statistics or computer science. The Ph.D. degree should normally not be obtained more than three years before the application. Previous experience with machine learning and/or artificial intelligence and genomics is meritorious. The applicant should also be experienced in programming (Python/R or equivalent languages) and used to working with big data computing solutions. Strong communicative skills and fluency in written and spoken English are a requirement.

For full eligibility requirements for a position as Full Professor see "Appointment Procedure at Jönköping University" As a professor, you will together with other professors and the department management lead the development of our research and education portfolios, and you will participate in research projects and educational programmes on first-, second, and third-cycle level. You will participate in the scientific community on high international level through, e.g., joint project applications and projects, arranging conferences, reviewing articles and appointments, etc. You are also expected to represent Jönköping University and the JAIL group in outreach activities to industry and the broader society; regionally, nationally, and internationally. As a professor at the Department of Computing you will be appointed to the Department Management Team, dealing with short- and long-term development issues and strategy; the DMT consists of the Head of Department, the Deputy Head of Department for Education, and the professors employed within the department. The School of Engineering is one of four schools within Jönköping University.

Berzelius is now Sweden's fastest supercomputer for AI and machine learning, and has been installed in the National Supercomputer Centre at Linköping University. A donation of EUR 29.5 million from the Knut and Alice Wallenberg Foundation has made the construction of the new supercomputer possible. "It's very gratifying, but also a major challenge, that Linköping University is taking a national responsibility to connect all initiatives within high-performance computing and data processing. Our new supercomputer is a powerful addition to the important research carried out into such fields as the life sciences, machine learning and artificial intelligence", says Jan-Ingvar Jönsson, vice-chancellor of Linköping University. The new supercomputer – Berzelius – takes its name from the renowned scientist Jacob Berzelius, who came from Östergötland, the region of Sweden in which Linköping is located.

National Supercomputer Centre at Linköping University has installed Berzelius, Sweden's fastest supercomputer for artificial intelligence and machine learning. The above had been made possible with a donation of EUR 29.5 million from the Knut and Alice Wallenberg Foundation. According to Jan-Ingvar Jönsson, vice-chancellor of Linköping University, It's gratifying and a big challenge at the same time that Linköping University has taken a national responsibility to connect all initiatives within high-performance computing and data processing. Berzelius is a powerful addition to the vital research carried out in such fields. Berzelius owes its name to renowned scientist Jacob Berzelius from Östergötland.

A Swedish physician who helped pioneer chemistry 200 years ago just got another opportunity to innovate. A supercomputer officially christened in honor of Jöns Jacob Berzelius aims to establish AI as a core technology of the next century. Berzelius (pronounced behr-zeh-LEE-us) invented chemistry's shorthand (think H20) and discovered a handful of elements including silicon. A 300-petaflops system now stands on the Linköping University (LiU) campus, less than 70 kilometers from his birthplace in south-central Sweden, like a living silicon tribute to innovations yet to come. "Many cities in Sweden have a square or street that bears Berzelius's name, but the average person probably doesn't know much about him," said Niclas Andersson, technical director at the National Supercomputer Centre (NSC) at Linköping University, which is home to the system based on the NVIDIA DGX SuperPOD.

Researchers have developed an artificial neural network using deep learning to identify genes that are related to disease. An artificial neural network has revealed patterns in huge amounts of gene expression data and discovered groups of disease-related genes. The developers, from Linköping University, Sweden, hope that the method can eventually be applied within precision medicine and individualised treatment. The scientists created maps of biological systems based on how different proteins or genes interact with each other. Using artificial intelligence (AI), they investigated whether it is possible to discover biological networks with deep learning, in which entities known as artificial neural networks are trained by experimental data.